Found: 13
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Identifying and Categorizing Bias in AI/ML for Earth Sciences.
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- Bulletin of the American Meteorological Society, 2024, v. 105, n. 3, p. E567, doi. 10.1175/BAMS-D-23-0196.1
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- Article
Trustworthy Artificial Intelligence for Environmental Sciences.
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- Bulletin of the American Meteorological Society, 2023, v. 104, n. 6, p. E1222, doi. 10.1175/BAMS-D-22-0225.1
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- Article
MAKING THE BLACK BOX MORE TRANSPARENT: Understanding the Physical Implications of Machine Learning.
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- Bulletin of the American Meteorological Society, 2019, v. 100, n. 11, p. 2175, doi. 10.1175/BAMS-D-18-0195.1
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- Article
Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting.
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- Weather & Forecasting, 2020, v. 35, n. 1, p. 149, doi. 10.1175/WAF-D-19-0105.1
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- Article
Deep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts.
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- Weather & Forecasting, 2019, v. 34, n. 4, p. 1137, doi. 10.1175/WAF-D-18-0183.1
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- Article
USING ARTIFICIAL INTELLIGENCE TO IMPROVE REAL-TIME DECISION-MAKING FOR HIGH-IMPACT WEATHER.
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- Bulletin of the American Meteorological Society, 2017, v. 98, n. 10, p. 2073, doi. 10.1175/BAMS-D-16-0123.1
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- Article
Deep-Learning-Based Precipitation Observation Quality Control.
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- Journal of Atmospheric & Oceanic Technology, 2021, v. 38, n. 5, p. 1075, doi. 10.1175/JTECH-D-20-0081.1
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- Article
Classification of Convective Areas Using Decision Trees.
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- Journal of Atmospheric & Oceanic Technology, 2009, v. 26, n. 7, p. 1341, doi. 10.1175/2008JTECHA1205.1
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- Article
Diagnosing Storm Mode with Deep Learning in Convection-Allowing Models.
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- Monthly Weather Review, 2023, v. 151, n. 8, p. 2009, doi. 10.1175/MWR-D-22-0342.1
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- Article
A Hybrid Analog-Ensemble–Convolutional-Neural-Network Method for Postprocessing Precipitation Forecasts.
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- Monthly Weather Review, 2022, v. 150, n. 6, p. 1495, doi. 10.1175/MWR-D-21-0154.1
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- Article
Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction.
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- Monthly Weather Review, 2020, v. 148, n. 7, p. 2837, doi. 10.1175/MWR-D-19-0372.1
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- Article
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms.
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- Monthly Weather Review, 2019, v. 147, n. 8, p. 2827, doi. 10.1175/MWR-D-18-0316.1
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- Article
Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science.
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- Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.5
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- Article